Production Data Acquisition

(abgek. PDA) engl. für Betriebsdatenerfassung

Quelle: logipedia / Fraunhofer IML

Production Data Acquisition (PDA) is a process for the automated acquisition and processing of status and results data from production and logistics. By continuously recording and analyzing data, companies can gain insights into their operating processes and identify potential for optimization. PDC covers various aspects of data collection, including:

1. Production data: This includes information such as machine running times, downtimes, production quantities, reject rates and throughput times. This data enables companies to monitor the performance of their production facilities and identify bottlenecks or inefficient processes.
2. Logistics data: This includes data on stock movements, goods receipts, goods issues, inventories and delivery times. By recording this data, companies can optimize their stock levels, shorten delivery times and ensure efficient material flow control.

PDC is usually evaluated with the help of specialized software solutions such as logistics control stations or production planning and control systems (PPC). These systems enable a comprehensive analysis of the recorded data and the derivation of recommendations for action to optimize operational processes. By using PDC, companies can realize a variety of benefits, including

• Increased efficiency: automated collection and processing of operational data enables faster and more accurate data evaluation, resulting in more efficient use of resources.
• Cost reduction: By identifying bottlenecks and inefficient processes, companies can reduce costs and strengthen their competitiveness.
• Quality improvement: The continuous monitoring and analysis of production and logistics data enables companies to identify and rectify quality problems at an early stage.

Overall, production data acquisition helps to increase the performance of companies and make them fit for the challenges of the modern economy.